AI
Artificial intelligence, machine learning, and everything LLM
#1851: AI Toasters and Poetic Gym Coaches: Why We’re Drowning in Useless AI
From smart toasters that need Wi-Fi to email rewriters that sound like corporate robots, here are the most baffling AI features we’ve seen.
#1849: When Forum Etiquette Becomes Prompt Engineering
Forget simple chatbots—this is how roleplayers taught AI to remember entire worlds, from 90s MUDs to just-in-time lore delivery.
#1847: The Home Lab Blackout: Fixing Servers From a Beach
Your server is down and you're miles away. Learn the three simple checks that keep your home lab alive and how to get back in when the front door i...
#1846: Right-Sizing Your Agent's MCP Toolkit
AI agents slow down when overloaded with tool schemas. Just-in-time usage is the fix.
#1843: Why Is My AI Pipeline Stuck? (Kanban-Style Observability)
Stop digging through JSON logs. See your AI jobs moving on a board, not just server metrics.
#1842: Building a Business on Spreadsheets? Here’s the Escape Plan
Ditch the messy spreadsheets and manual invoices. Here's how to automate your workflow using Google Workspace, Apps Script, and AI.
#1841: Async Work: Freedom or Digital Surveillance?
Is async work the key to productivity or a trap for total surveillance? We break down the promises and perils of the modern workday.
#1840: Your Calendar Is Now a Negotiation
AI agents are now negotiating meetings behind the scenes using JSON schemas and zero-knowledge proofs.
#1839: AI's Data Kitchen: From Hoovering to Fine-Tuning
We go behind the curtain of the AI data pipeline, revealing the messy, multi-billion-dollar war over data curation.
#1838: Tuning Search Without Losing Your Mind
Modern search bars are AI decision engines. Here's how small teams can tune fuzzy matching, semantic search, and reranking without breaking everyth...
#1837: The Human-in-the-Loop Price Tag: What Safety Costs in 2026
From $0.50 reviews to $500 platforms, we break down the real cost of keeping humans in charge of AI agents.
#1836: Why Your AI Agent Needs a Headless Browser
AI agents can't just use text—they need to see and click. Here's why headless browsers are the critical bridge to the live web.
#1835: AI-Native vs. AI-Washed: How to Tell the Difference
Most "AI-powered" tools are just lipstick on a chatbot. Here's how to spot the real AI-native apps.
#1834: Owning Your AI Memory: The Data Exit Strategy
Why your AI remembers your coffee order but forgets your son’s name—and how to build a portable, federated memory layer you actually own.
#1832: From Local Chaos to Cloud Control
Local MCP servers are a configuration nightmare. Cloud aggregators like Composio offer a unified control plane for AI tools.
#1831: The 79% AI Coder: Reasoning vs. Memorization
AI models now score 79% on coding benchmarks, but a 40-point drop on harder tests reveals the truth.
#1830: Coordinating Multi-Agent Repos at Scale
Parallel AI agents rewriting your code at once creates silent regressions and architectural drift. How do we fix it?
#1829: From Chatbots to Digital Chefs
The job title barely existed 18 months ago. Now, it’s one of the most searched terms on LinkedIn.
#1828: Mastering 2M Token Context in Agentic Pipelines
A massive context window sounds like a dream, but it can quickly become a nightmare for complex AI workflows.
#1827: Can AI Rewrite a Human Career Path?
We fed our producer's resume to Gemini 1.5 Flash to see if an AI can plot a better career path than he has.